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Bone densitometry of the spine and femur in children by dual-energy x-ray absorptiometry.

https://arctichealth.org/en/permalink/ahliterature224036
Source
Bone Miner. 1992 Apr;17(1):75-85
Publication Type
Article
Date
Apr-1992
Author
H. Kröger
A. Kotaniemi
P. Vainio
E. Alhava
Author Affiliation
Department of Surgery, Kuopio University Hospital, Finland.
Source
Bone Miner. 1992 Apr;17(1):75-85
Date
Apr-1992
Language
English
Publication Type
Article
Keywords
Absorptiometry, Photon
Adolescent
Analysis of Variance
Bone Density
Child
Female
Femur - radiography
Finland
Humans
Male
Regression Analysis
Spine - radiography
Abstract
The bone mineral content (BMC) and bone mineral density (BMD) of the lumbar spine (L2-L4) and femoral neck were measured by dual-energy x-ray absorptiometry in 84 healthy Finnish children and adolescents aged 6-19 years. Both BMC (g) and BMD (g/cm2) were closely related to age, height and weight (r values from 0.724 to 0.920). When the BMD values were adjusted for age, height and weight, the mean lumbar BMD was higher in girls than in boys (P = 0.001), whereas in the femoral neck the situation was opposite (P = 0.032). Attempts were also made to normalize the BMD data for the size of bones. When BMD values were corrected for the size of bones, the correlation between age and BMDcorr (g/cm3) at the femoral neck disappeared suggesting that apparent volumetric density (g/cm3) did not change significantly during childhood and adolescence. Statistically higher femoral neck BMD and BMDcorr values were found in the study subjects, who were physically active (P less than 0.005). However, given the influence of nutrition and other environmental factors, one must be careful in interpreting the results concerning the determinants of bone mass.
Notes
Erratum In: Bone Miner 1992 Jun;17(3):429
PubMed ID
1581707 View in PubMed
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Quantification of metabolites from single-voxel in vivo 1H NMR data of normal human brain by means of time-domain data analysis.

https://arctichealth.org/en/permalink/ahliterature11357
Source
MAGMA. 1995 Sep-Dec;3(3-4):129-36
Publication Type
Article
Author
M. Ala-Korpela
J P Usenius
J. Keisala
A. van den Boogaart
P. Vainio
J. Jokisaari
S. Soimakallio
R. Kauppinen
Author Affiliation
Department of Physical Sciences, University of Oulu, Finland.
Source
MAGMA. 1995 Sep-Dec;3(3-4):129-36
Language
English
Publication Type
Article
Keywords
Aspartic Acid - analogs & derivatives - metabolism
Brain - anatomy & histology - metabolism
Choline - metabolism
Comparative Study
Creatine - metabolism
Humans
Magnetic Resonance Spectroscopy - methods
Protons
Research Support, Non-U.S. Gov't
Signal Processing, Computer-Assisted
Abstract
We present here a combination of time-domain signal analysis procedures for quantification of human brain in vivo 1H NMR spectroscopy (MRS) data. The method is based on a separate removal of a residual water resonance followed by a frequency-selective time-domain line-shape fitting analysis of metabolite signals. Calculation of absolute metabolite concentrations was based on the internal water concentration as a reference. The estimated average metabolite concentrations acquired from six regions of normal human brain with a single-voxel spin-echo technique for the N-acetylaspartate, creatine, and choline-containing compounds were 11.4 +/- 1.0, 6.5 +/- 0.5, and 1.7 +/- 0.2 mumol kg-1 wet weight, respectively. The time-domain analyses of in vivo 1H MRS data from different brain regions with their specific characteristics demonstrate a case in which the use of frequency-domain methods pose serious difficulties.
PubMed ID
8749730 View in PubMed
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